Global Sentiment Toward Health AI at the Dawn of the ChatGPT Era: Empirical Analysis of Twitter (X) Discourse
Lily Minh Wass, Zhengdong Wu, José Vizoso, Joseph T Wu, Leesa Lin, Stefano Brini, Xiaoguang Lin, Marek Vochozka · 2026
Read Global Sentiment Toward Health AI at the Dawn of the ChatGPT Era: Empirical Analysis of Twitter (X) Discourse by Lily Minh Wass, Zhengdong Wu, José Vizoso, Joseph T Wu, Leesa Lin, Stefano Brini, Xiaoguang Lin, Marek Vochozka (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13187703.txt.
Description
Lily Wass and co-authors map global sentiment toward health AI on social media, in a 2026 paper. The head byline is shorter than the catalog list, so team framing is used. Public feeling shapes whether health AI is accepted, beyond how well it works, and posts on X give a real time window into that feeling.
The team gathered close to eight hundred thousand English posts from 2023, the first ChatGPT year. Language models labeled sentiment and six themes such as safety, privacy, and trust, after checks against human labels. The best model then labeled close to four hundred thousand cleaned posts. The work is the first large map of its kind for health AI.
Catalog record
| CREATOR | Lily Minh Wass, Zhengdong Wu, José Vizoso, Joseph T Wu, Leesa Lin, Stefano Brini, Xiaoguang Lin, Marek Vochozka |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 59 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |